从低压的朗格温轨迹中学习的产生
Jinghao Lyu1, Kyle J Ray1, James P Crutchfield1
1University of California at Davis, Complexity Sciences Center and Physics and Astronomy Department, One Shields Avenue, Davis, California 95616, USA.
Physical review. E
|February 7, 2025
概括
研究人员开发了一种新方法,使用修改的热力学不确定性关系来估计复杂物理系统中的产量. 这种方法适用于过度减压和过低减压的朗格温动态,提供了更广泛的适用性.
科学领域:
- 物理 物理学 物理
- 物理化学 物理化学
- 统计力学 统计力学
背景情况:
- 产量 (EP) 量化了非平衡系统中的能量消耗和不可逆性.
- 由于对系统动态的知识有限,很难估计EP.
- 使用热力学不确定性关系 (TUR) 的现有方法仅限于过度缩系统.
研究的目的:
- 开发一种新的方法来估计在低阻尼的朗格温系统中的产量.
- 将热力学不确定性关系 (TUR) 的应用扩展到更广泛的物理系统.
- 提供一种灵活的方法来计算EP,使用有限的动态信息.
主要方法:
- 将累积电流和随机电流与EP相关的修改后的TUR推导.
- 使用一种允许和不确定性关系的电流家族.
- 仅需要了解阻尼系数与质量比和扩散常数.
主要成果:
- 为了在超和低的朗格温动态中估计EP,建立了一个修改后的TURR.
- 该方法在各种低阻尼系统上进行了数值验证.
- 导出的不确定性关系即使对于长期平均值和非稳定状态条件也可以和.
结论:
- 新的修改TUR提供了一种灵活和广泛适用的方法来估计产量.
- 这一进步克服了以前方法的局限性,使得在低阻尼系统中能够进行EP估计.
- 这些发现有助于更深入地了解非平衡物理中的能量消散和不可逆性.
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